Expected approved derivatives = source assets × draft derivatives per source × (keep rate / 100)
Expected Approved Derivative Assets
19.6
A planning expectation, not a guaranteed whole-asset commitment or a forecast of reach, leads, or revenue.
Run separate calculations when formats, source types, teams, or approval rules have materially different yields.
Replace the scenario keep rate with observed batch data and record forecast versus actual approved output after each cycle.
Reserve writing, design, review, revision, accessibility, and publishing time separately; this formula estimates asset count only.
What this calculator estimates
This calculator estimates approved derivative output for one batch. First it calculates draft candidates: source assets multiplied by planned draft derivatives per source. It then applies the approval keep rate, expressed as a percentage.
“Approved” must mean the same thing throughout the batch—for example, a draft that passed factual, brand, rights, accessibility, and platform-format review. The term does not mean the asset was published or performed well after publication.
The keep rate is a first-party workflow measure, not an industry benchmark. It resembles a quality-yield concept: ASQ defines first pass yield around units that complete a process and meet quality guidelines. This calculator uses its own narrower content-review definition and should not be reported as manufacturing first pass yield.
Formula and units
assets × drafts per asset × percentage/100 = expected approved derivative assets
Worked example: four source assets
Suppose a batch contains 4 owned source assets. The team plans 7 derivative drafts from each source, so the batch contains 28 planned drafts. Its comparable approval keep rate is 70%, or 0.70 in the multiplication.
The calculation is 4 × 7 × 0.70 = 19.6 expected approved derivative assets. Since actual assets are whole, treat 19.6 as a planning expectation across comparable batches. Do not promise 20 publications, and do not infer views, engagement, leads, or revenue from the output estimate.
- Source assets: 4 assets
- Draft yield: 7 drafts per source asset
- Planned drafts: 28 drafts
- Approval keep rate: 70%, entered as 70
- Expected approved output: 19.6 assets
Define the three inputs before calculating
Choose one source unit
Count comparable source assets inside one batch and reuse-permission scope. If a webinar and a thirty-second clip have very different extraction potential, calculate them separately.
Count reviewed draft candidates
Derivatives per source should count candidates that reach the stated review gate. Do not inflate the value with every automated angle, duplicate crop, or minor caption variation.
Calculate the keep rate
Divide approved drafts by reviewed drafts for a comparable historical batch, then multiply by 100. Write down the approval gate and treatment of revisions so the next batch uses the same denominator.
No history yet? Use scenarios
Enter a low, working, and high assumption separately. Label all three as scenarios, record actual approvals, and replace assumptions only when comparable batch data exists.
Use a format-level calibration ledger
A single blended average can hide a weak format or an unusually rich source. Keep one row per comparable batch and, where practical, one calculation per format. This also prevents a carousel and its resized duplicate from being counted as two independent ideas unless that is the explicit planning unit.
- Batch ID and review window
- Source type and source count
- Derivative format
- Drafts reviewed
- Drafts approved
- Keep rate and approval-rule version
- Forecast approved output
- Actual approved output
- Reason for the largest variance
Calibration equation
Approval keep rate = approved drafts ÷ reviewed drafts × 100. Forecast error = actual approved output − forecast approved output.
What the result can and cannot support
Use the estimate to reserve production and review slots, compare scenarios, or identify where a low approval rate reduces expected capacity. Do not use it alone to set a publishing commitment: approved assets still require scheduling, platform checks, and an owner.
The result also says nothing about post performance. Instagram’s professional dashboard and LinkedIn’s post analytics maintain their own platform-specific measurements. Attach live asset IDs to those source systems after publication rather than treating “approved output” as an engagement or conversion metric.
A higher derivatives-per-source input is not automatically better. If extra drafts repeat the same idea or weaken the evidence boundary, the count rises while the queue becomes less useful. The approval gate is allowed to reject them.
Deep Dives
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Common Questions
FAQ
Sources
Editorially reviewed August 13, 2026
- Quality Glossary of Terms, Acronyms & Definitions — ASQ
- About the Instagram professional dashboard — Instagram Help Center
- View post analytics for your content — LinkedIn Help
Next step
Turn an approved batch plan into reviewable drafts
AttentionClaw can draft branded carousel and slideshow options from your approved source ideas and visuals. Your review ledger remains the source of approval and capacity data.
Move from the idea layer into a repeatable production workflow.